Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F293]
agricultural-surveys

Household Risk and Vulnerability Survey 2016-2018

Nepal, 2016 - 2018
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Reference ID
NPL_2016-2018_HRVS_v01_EN_M_v01_A_OCS
Producer(s)
The World Bank
Collections
Agricultural Surveys
Metadata
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Created on
Oct 06, 2020
Last modified
Nov 08, 2022
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Currently living location (s01q06b)

Data file: Section_1

Overview

Valid: 298
Invalid: 30017
Type: Discrete
Decimal: 2
Start: 105
End: 109
Width: 5
Range: 1 - 97
Format: Numeric

Questions and instructions

Literal question
1.6b. Where is ... currently living?
Categories
Value Category Cases
1 Taplejung 8
2.7%
2 Panchthar 2
0.7%
3 Ilam 1
0.3%
4 Jhapa 5
1.7%
5 Morang 11
3.7%
6 Sunsari 0
0%
7 Dhankuta 1
0.3%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 0
0%
11 Solukhumbu 0
0%
12 Okhaldhunga 0
0%
13 Khotang 0
0%
14 Udayapur 1
0.3%
15 Saptari 1
0.3%
16 Siraha 0
0%
17 Dhanusha 0
0%
18 Mahottari 0
0%
19 Sarlahi 0
0%
20 Sindhuli 0
0%
21 Ramechhap 0
0%
22 Dolakha 0
0%
23 Sindhupalchok 3
1%
24 Kabhrepalanchok 2
0.7%
25 Lalitpur 0
0%
26 Bhaktapur 1
0.3%
27 Kathmandu 65
21.8%
28 Nuwakot 0
0%
29 Rasuwa 0
0%
30 Dhading 10
3.4%
31 Makwanpur 3
1%
32 Rautahat 0
0%
33 Bara 2
0.7%
34 Parsa 1
0.3%
35 Chitwan 2
0.7%
36 Gorkha 1
0.3%
37 Lamjung 2
0.7%
38 Tanahun 2
0.7%
39 Syangja 2
0.7%
40 Kaski 4
1.3%
41 Manang 1
0.3%
42 Mustang 0
0%
43 Myagdi 0
0%
44 Parbat 0
0%
45 Baglung 0
0%
46 Gulmi 1
0.3%
47 Palpa 1
0.3%
48 Nawalparasi 1
0.3%
49 Rupandehi 3
1%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 0
0%
54 Rukum 0
0%
55 Salyan 0
0%
56 Dang 1
0.3%
57 Banke 2
0.7%
58 Bardiya 2
0.7%
59 Surkhet 0
0%
60 Dailekh 1
0.3%
61 Jajarkot 2
0.7%
62 Dolpa 0
0%
63 Jumla 0
0%
64 Kalikot 0
0%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 0
0%
68 Bajhang 0
0%
69 Achham 0
0%
70 Doti 0
0%
71 Kailali 3
1%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 0
0%
75 Darchula 0
0%
76 Other 0
0%
81 India 76
25.5%
82 Bhutan 0
0%
83 China 0
0%
84 Bangladesh 0
0%
85 Hongkong 0
0%
86 Malayasia 19
6.4%
87 Japan 4
1.3%
88 Saudi Arabia 16
5.4%
89 Qatar 19
6.4%
90 United Arab Emirates 7
2.3%
91 United Kingdom 0
0%
92 United States 0
0%
93 South Korea 0
0%
94 Australia 0
0%
95 Israel 0
0%
96 Other 9
3%
97 Other 0
0%
Sysmiss 30017
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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